Skimpy ignores other data types except for Float and Integer
good-morning-jeremy opened this issue · 1 comments
good-morning-jeremy commented
Hi,
I've tried Skimpy first time today and it seems like I found a bug. I used Skimpy on my sample dataframe and it only returns the summary for the Float and Integer columns while others were ignored.
This is the sample code:
from skimpy import skim
import datetime
import pandas as pd
data = ([datetime.datetime(2021, 1, 1), None, 'as', 6],
[datetime.datetime(2021, 1, 2), 5.2, 'asd', 7],
[None, 6.3, 'adasda', 8])
df = pd.DataFrame(data, columns=['date', 'float', 'string', 'integer'])
skim(df)
aeturrell commented
Will take a look at this as soon as I can.